1. Home
  2. AI Tools
  3. AI Lead Qualification Assistant
Sales

AI Lead Qualification Assistant

New leads get an instant acknowledgement and a few qualifying questions, then a score based on your own criteria. Your sales team sees a ranked list in the CRM with a summary and a drafted reply for each lead.

Build time2 to 4 weeks
Fixed priceFrom $1,500
The codeYours, 100%
The problem

Why businesses ask us for this

Leads come in from your website, ads, marketplaces and email, and they all look the same in the inbox. Your salespeople either chase everyone, wasting hours on people who will never buy, or reply late to the serious ones. Speed matters: a buyer who asks three suppliers for a quote is likely to go with whoever replies first with a clear answer. Meanwhile your CRM is half empty because nobody has time to enter the details.

An IT services firm with mixed inquiries

Example: A small IT services firm gets quote requests from its website, a directory listing and email. Some are offices needing managed support; many are individuals with a broken laptop. The assistant replies within minutes, asks about company size, location and what they need, and scores each lead. Office leads in the service area trigger a Slack alert and land in HubSpot with a drafted reply. Individuals get a polite note pointing them to a local repair shop. A salesperson edits and sends the drafts the same day.

How it works

From the first message to the finished job, step by step

  1. Capture every lead in one place

    Web forms, chat, email inquiries and ad leads flow into one pipeline. Each new lead is checked against your CRM, so duplicates merge and returning customers are recognized.

  2. Enrich and ask

    The assistant looks up public company details. It then asks the lead two or three short questions you define, such as budget, timeline or service needed, by email or chat, in wording you have approved.

  3. Score against your criteria

    Answers and details are scored against rules you set, like region, budget and fit, with the AI explaining its reasoning in one line. Hot leads alert a salesperson right away in Slack or by text.

  4. Sales approves the next step

    Each lead lands in the CRM with a summary, score and drafted reply. A salesperson edits and sends the reply, or books a call. Tailored replies never go out without their approval.

What you get

Features built in from day one

Your scoring rules, not a black box

You decide what makes a good lead. The AI applies your criteria and writes a short reason for every score, so salespeople can see why.

Instant first response

Every lead gets an acknowledgement and qualifying questions within minutes, day or night, using wording you have approved in advance.

Drafted, personal replies

For each qualified lead, the assistant drafts a reply that answers their actual question and suggests a next step. Your salesperson edits it and sends.

Clean CRM records

Contact details, company, source, answers, score and a summary are written to HubSpot, Salesforce or Pipedrive automatically, so pipeline reports match what actually came in.

Polite disqualification

Leads that are clearly not a fit, such as the wrong region or budget, get a courteous reply and a pointer elsewhere, after your approval if you prefer.

Score tuning from results

As deals are won or lost, you can compare scores with outcomes and adjust the rules. The criteria live in a settings page, not in code.

Models and data

Which AI model it runs on

Scoring and sorting leads is a classification job, and small, fast models from OpenAI, Anthropic or Google do it well and cheaply, especially with clear criteria and examples. Drafting a reply that sounds like your best salesperson needs a stronger model, such as a larger Claude or GPT model. It only runs for leads that pass the first filter. That split keeps costs low. The scoring prompt, criteria and model choice are all configuration, so you can switch providers or tighten rules without new code.

What Gemini 4 Argon changes

Price and timeline

From $1,500fixed quote

Typical build: 2 to 4 weeks. AI usage per lead is small because most leads only touch a low-cost model, so monthly running costs are usually modest, and we estimate them from your lead volume.

  • Written scope and one price before any code
  • Working version on a staging link in week one
  • Code in your repository from the first commit
  • Optional 24-month support plan
Get my fixed quote
FAQ

Frequently asked questions

How much does an AI lead qualification assistant cost?

Setups start from $1,500 for one or two lead sources, your scoring rules, drafted replies and a CRM connection. More sources, enrichment services, multi-step email follow-ups or custom CRM objects add scope. You get a fixed quote. Monthly costs are AI usage plus any paid enrichment service you choose.

How quickly can it be running?

Most setups take 2 to 4 weeks. The first week is agreeing on your scoring criteria with your sales team and connecting lead sources. Then we score a batch of past leads, compare the scores with what actually happened, adjust, and go live with drafts only before turning on any automatic replies.

What if it scores a good lead badly?

It can happen, especially when a lead writes very little. Every score comes with a one-line reason, low-scored leads are never deleted, and you can set a rule that anything uncertain goes to a person. We check scores against real outcomes after launch and adjust. Treat the score as a sorting aid for your team, not a final verdict on a customer.

Is lead data handled in a privacy-safe way?

Lead details go straight into your own CRM and a small database in your cloud account; we do not keep a separate copy. Only the fields needed for scoring are sent to the AI model, on paid API terms that exclude training. Enrichment uses public business information only, and we can add consent checks for regions like the EU and UK.

Can we change the scoring rules later?

Yes. Criteria such as target regions, minimum budget, company size or services offered live in a settings page your sales manager can edit. Changes apply to new leads right away, and you can re-score recent leads to see the effect. Bigger changes, like adding a new product line with its own questions, are a small piece of follow-on work.

Want this built for your business?

Send us a few real examples of the task. You get a written scope, a fixed price and a timeline within two working days.